code: def test_invalid_block_arguments():
      with pytest.raises(ValueError):
          _, _, _ = build_blocks(
              "encoder", 4, "linear", [{"type": "transformer"}]
          )
  
      with pytest.raises(ValueError):
          _, _, _ = build_blocks(
              "encoder", 4, "linear", [{"type": "conformer"}]
          )
  
      with pytest.raises(ValueError):
          _, _, _ = build_blocks(
              "encoder",
              4,
              "linear",
              [
                  {
                      "type": "conformer",
                      "d_hidden": 4,
                      "d_ff": 8,
                      "heads": 1,
                      "macaron_style": False,
                      "use_conv_mod": True,
                  }
              ],
          )
  
      with pytest.raises(ValueError):
          _, _, _ = build_blocks(
              "decoder", 4, "embed", [{"type": "conformer"}]
          )
  
      with pytest.raises(ValueError):
          _, _, _ = build_blocks(
              "encoder", 4, "embed", [{"type": "causal-conv1d"}]
          )
  
      with pytest.raises(ValueError):
          _, _, _ = build_blocks(
              "decoder", 4, "embed", [{"type": "conv1d"}]
          )
  
      with pytest.raises(ValueError):
          _, _, _ = build_blocks(
              "encoder",
              4,
              "embed",
              [
                  {
                      "type": "transformer",
                      "d_hidden": 2,
                      "d_ff": 8,
                      "heads": 1,
                  },
              ],
              positional_encoding_type="rel_pos",
              self_attn_type="self_attn",
          )
  
imports: import argparse
  import json
  import tempfile
  import pytest
  import torch
  from packaging.version import parse
  import espnet.lm.pytorch_backend.extlm
  import espnet.nets.pytorch_backend.lm.default
  from espnet.asr.pytorch_backend.asr_init import load_trained_model
  from espnet.nets.beam_search_transducer import BeamSearchTransducer
  from espnet.nets.pytorch_backend.e2e_asr_transducer import E2E
  from espnet.nets.pytorch_backend.transducer.blocks import build_blocks
label_desc: Use image node_id 14 for calling a global function with example usage: test_invalid_block_arguments() without return types